Periodic Reporting for period 1 - BUILDCHAIN (BUILDing knowledge book in the blockCHAIN distributed ledger. Trustworthy building life-cycle knowledge graph for sustainability and energy efficiency)
Okres sprawozdawczy: 2023-01-01 do 2024-06-30
o the high-level architecture of the BUILDCHAIN platform was designed in WP2 after an analysis of the current landscape of DBL implementation. User needs were identified, and several use cases were defined including their data flows and structures and describing the necessary tools and functionalities to make these use cases feasible and designed for the events and triggers. A common high-level ontology was developed, and mechanisms were introduced to ensure the discoverability, traceability, and secure accessibility of data.
o the off-chain and on-chain data management based on the DKG is under development in WP3. A solution based on the creation of a trustworthy oracle network is proposed with several aggregation layers considering data feeds, aggregation of many data sources and reputation mechanisms.
o several advanced tools for BIM and HBIM integration, operational energy efficiency, machine learning-based digital twins, and environmental impact analysis starting from DBL data, are now under development in WP4. Key tasks include creating renovation workflow tools, integration of APIs for BIM applications, and development of digital twins for building operations. Significant progress includes successful API development, semantic segmentation for architectural elements of historical buildings, and the creation of a digital twin tool for energy optimization. Refined workflows and machine learning models have been developed for reliability analysis, and environmental impact analysis tools are being integrated with ongoing efforts to enhance data integration and visualization in BIM environment.
o demonstration of Use Cases, tools and functionalities was initiated in WP5. BIM for all pilots were developed and uploaded on Bexel CDE. SHM system was installed in Pilot 1 and procedures for real-time monitoring of the building’s key structural parameters to ensure its preservation and safety are now tested. The integrated design of a new hospital in BIM environment was carried out for Pilot 2. The federated BIM model was compiled by amalgamating several models representing distinct disciplines, including individual project phases, aligning with project cost management, and enabling statistical analyses and data processing. For Pilot 3, a digital survey was carried out and the workflows developed in T4.2 for reconstruction of BIM and Finite Element (FE) models were initially tested. The SHM system was designed, and its installation planned, while the implementation process for energy performance monitoring is now underway. Data was collected for a large set of school buildings in the city centre of Florence (Pilot 4) and will be used to test Use Cases 2 and 4. Forced and ambient vibration test results from two tall timber buildings were collected, and BIM and FE models were developed for Pilot 5. Using the experimental data and the model updating framework from T4.5 model parameters were updated for the two buildings in a joint manner.
Progress to deliver economic impact has been made facilitating the digitization of the building sector by means of the DKG and creating a new marketplace around DBL data. DKG supports the creation of Knowledge Assets that encapsulate detailed and precise building information, with cryptographic quality proofs integral to the Decentralized Identifiers. This will foster transparency and reliability across the construction lifecycle.
BUILDCHAIN is supporting standardization of DBL data in many different areas: data modelling, data exchange, data verification, data portability, data reusability. This standardization will result in enhanced interoperability and increased competitiveness in the European building sector.
BUILDCHAIN is contributing to the acceleration of the twin green and digital transition of the construction sector not only through the digitization of building sector but also by the creation of a more efficient deep renovation strategy (U11 and Task 4.1 U2), the development of an user friendly tool to optimize operational energy efficiency (U12 and Task 4.4) and the achieved transparency of carbon footprint properties (U1 and Task 4.3).